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Iet Biometrics
  • 數(shù)據(jù)庫(kù)收錄SCIE
  • 創(chuàng)刊年份2012年
  • 年發(fā)文量18
  • H-index19

Iet Biometrics

期刊中文名:生物識(shí)別ISSN:2047-4938E-ISSN:2047-4946

該雜志國(guó)際簡(jiǎn)稱:IET BIOMETRICS,是由出版商Wiley出版的一本致力于發(fā)布計(jì)算機(jī)科學(xué)研究新成果的的專業(yè)學(xué)術(shù)期刊。該雜志以COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE研究為重點(diǎn),主要發(fā)表刊登有創(chuàng)見(jiàn)的學(xué)術(shù)論文文章、行業(yè)最新科研成果,扼要報(bào)道階段性研究成果和重要研究工作的最新進(jìn)展,選載對(duì)學(xué)科發(fā)展起指導(dǎo)作用的綜述與專論,促進(jìn)學(xué)術(shù)發(fā)展,為廣大讀者服務(wù)。該刊是一本國(guó)際優(yōu)秀雜志,在國(guó)際上有很高的學(xué)術(shù)影響力。

基本信息:
期刊簡(jiǎn)稱:IET BIOMETRICS
是否OA:開(kāi)放
是否預(yù)警:
Gold OA文章占比:75.93%
出版信息:
出版地區(qū):USA
出版周期:Bi-monthly
出版語(yǔ)言:English
出版商:Wiley
評(píng)價(jià)信息:
中科院分區(qū):4區(qū)
JCR分區(qū):Q3
影響因子:1.8
CiteScore:5.9
雜志介紹 中科院JCR分區(qū) JCR分區(qū) CiteScore 投稿經(jīng)驗(yàn)

雜志介紹

Iet Biometrics雜志介紹

《Iet Biometrics》是一本以English為主的開(kāi)放獲取國(guó)際優(yōu)秀期刊,中文名稱生物識(shí)別,本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果,介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展,探討行業(yè)發(fā)展的思路和方法,以促進(jìn)學(xué)術(shù)信息交流,提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄,為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用,也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.8,最新CiteScore 指數(shù)為5.9。

英文介紹

Iet Biometrics雜志英文介紹

The field of biometric recognition - automated recognition of individuals based on their behavioural and biological characteristics - has now reached a level of maturity where viable practical applications are both possible and increasingly available. The biometrics field is characterised especially by its interdisciplinarity since, while focused primarily around a strong technological base, effective system design and implementation often requires a broad range of skills encompassing, for example, human factors, data security and database technologies, psychological and physiological awareness, and so on. Also, the technology focus itself embraces diversity, since the engineering of effective biometric systems requires integration of image analysis, pattern recognition, sensor technology, database engineering, security design and many other strands of understanding.

The scope of the journal is intentionally relatively wide. While focusing on core technological issues, it is recognised that these may be inherently diverse and in many cases may cross traditional disciplinary boundaries. The scope of the journal will therefore include any topics where it can be shown that a paper can increase our understanding of biometric systems, signal future developments and applications for biometrics, or promote greater practical uptake for relevant technologies:

Development and enhancement of individual biometric modalities including the established and traditional modalities (e.g. face, fingerprint, iris, signature and handwriting recognition) and also newer or emerging modalities (gait, ear-shape, neurological patterns, etc.)

Multibiometrics, theoretical and practical issues, implementation of practical systems, multiclassifier and multimodal approaches

Soft biometrics and information fusion for identification, verification and trait prediction

Human factors and the human-computer interface issues for biometric systems, exception handling strategies

Template construction and template management, ageing factors and their impact on biometric systems

Usability and user-oriented design, psychological and physiological principles and system integration

Sensors and sensor technologies for biometric processing

Database technologies to support biometric systems

Implementation of biometric systems, security engineering implications, smartcard and associated technologies in implementation, implementation platforms, system design and performance evaluation

Trust and privacy issues, security of biometric systems and supporting technological solutions, biometric template protection

Biometric cryptosystems, security and biometrics-linked encryption

Links with forensic processing and cross-disciplinary commonalities

Core underpinning technologies (e.g. image analysis, pattern recognition, computer vision, signal processing, etc.), where the specific relevance to biometric processing can be demonstrated

Applications and application-led considerations

Position papers on technology or on the industrial context of biometric system development

Adoption and promotion of standards in biometrics, improving technology acceptance, deployment and interoperability, avoiding cross-cultural and cross-sector restrictions

Relevant ethical and social issues

中科院SCI分區(qū)

Iet Biometrics雜志中科院分區(qū)信息

2023年12月升級(jí)版
綜述:
TOP期刊:
大類:計(jì)算機(jī)科學(xué) 4區(qū)
小類:

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
計(jì)算機(jī):人工智能 4區(qū)

2022年12月升級(jí)版
綜述:
TOP期刊:
大類:計(jì)算機(jī)科學(xué) 3區(qū)
小類:

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
計(jì)算機(jī):人工智能 4區(qū)

2021年12月舊的升級(jí)版
綜述:
TOP期刊:
大類:計(jì)算機(jī)科學(xué) 3區(qū)
小類:

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
計(jì)算機(jī):人工智能 4區(qū)

2021年12月基礎(chǔ)版
綜述:
TOP期刊:
大類:工程技術(shù) 4區(qū)
小類:

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
計(jì)算機(jī):人工智能 4區(qū)

2021年12月升級(jí)版
綜述:
TOP期刊:
大類:計(jì)算機(jī)科學(xué) 3區(qū)
小類:

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
計(jì)算機(jī):人工智能 4區(qū)

2020年12月舊的升級(jí)版
綜述:
TOP期刊:
大類:計(jì)算機(jī)科學(xué) 4區(qū)
小類:

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
計(jì)算機(jī):人工智能 4區(qū)

中科院SCI分區(qū):是中國(guó)科學(xué)院文獻(xiàn)情報(bào)中心科學(xué)計(jì)量中心的科學(xué)研究成果。期刊分區(qū)表自2004年開(kāi)始發(fā)布,延續(xù)至今;2019年推出升級(jí)版,實(shí)現(xiàn)基礎(chǔ)版、升級(jí)版并存過(guò)渡,2022年只發(fā)布升級(jí)版,期刊分區(qū)表數(shù)據(jù)每年底發(fā)布。 中科院分區(qū)為4個(gè)區(qū)。中科院分區(qū)采用刊物前3年影響因子平均值進(jìn)行分區(qū),即前5%為該類1區(qū),6%~20%為2區(qū)、21%~50%為3區(qū),其余的為4區(qū)。1區(qū)和2區(qū)雜志很少,雜志質(zhì)量相對(duì)也高,基本都是本領(lǐng)域的頂級(jí)期刊。

JCR分區(qū)(2023-2024年最新版)

Iet Biometrics雜志 JCR分區(qū)信息

按JIF指標(biāo)學(xué)科分區(qū)
學(xué)科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
收錄子集:SCIE
分區(qū):Q3
排名:136 / 197
百分位:

31.2%

按JCI指標(biāo)學(xué)科分區(qū)
學(xué)科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
收錄子集:SCIE
分區(qū):Q4
排名:152 / 198
百分位:

23.48%

JCR分區(qū):JCR分區(qū)來(lái)自科睿唯安公司,JCR是一個(gè)獨(dú)特的多學(xué)科期刊評(píng)價(jià)工具,為唯一提供基于引文數(shù)據(jù)的統(tǒng)計(jì)信息的期刊評(píng)價(jià)資源。每年發(fā)布的JCR分區(qū),設(shè)置了254個(gè)具體學(xué)科。JCR分區(qū)根據(jù)每個(gè)學(xué)科分類按照期刊當(dāng)年的影響因子高低將期刊平均分為4個(gè)區(qū),分別為Q1、Q2、Q3和Q4,各占25%。JCR分區(qū)中期刊的數(shù)量是均勻分為四個(gè)部分的。

CiteScore 評(píng)價(jià)數(shù)據(jù)(2024年最新版)

Iet Biometrics雜志CiteScore 評(píng)價(jià)數(shù)據(jù)

  • CiteScore 值:5.9
  • SJR:0.583
  • SNIP:0.957
學(xué)科類別 分區(qū) 排名 百分位
大類:Computer Science 小類:Signal Processing Q2 41 / 131

69%

大類:Computer Science 小類:Computer Vision and Pattern Recognition Q2 34 / 106

68%

大類:Computer Science 小類:Software Q2 143 / 407

64%

歷年影響因子和期刊自引率

投稿經(jīng)驗(yàn)

Iet Biometrics雜志投稿經(jīng)驗(yàn)

該雜志是一本國(guó)際優(yōu)秀雜志,在國(guó)際上有較高的學(xué)術(shù)影響力,行業(yè)關(guān)注度很高,已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄,該雜志在COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE綜合專業(yè)領(lǐng)域?qū)I(yè)度認(rèn)可很高,對(duì)稿件內(nèi)容的創(chuàng)新性和學(xué)術(shù)性要求很高,作為一本國(guó)際優(yōu)秀雜志,一般投稿過(guò)審時(shí)間都較長(zhǎng),投稿過(guò)審時(shí)間平均 33 Weeks ,如果想投稿該刊要做好時(shí)間安排。版面費(fèi)不祥。該雜志近兩年未被列入預(yù)警名單,建議您投稿。如您想了解更多投稿政策及投稿方案,請(qǐng)咨詢客服。

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